POSITION OVERVIEW
We're consolidating analytics onto a single SQL Server database that sits right alongside our lending systems, and you'll own it end to end: what lands in it, how it's modeled, and the reporting that runs off it. The goal is self-service — governed tables, a real data dictionary, and published models so that most questions answer themselves. When someone does need you directly, the result should be a reusable asset, not a one-off number.
This is a hands-on job for someone who likes to finish things and keep them running. You'll inherit a working platform and a team that has already solved the hard migration problems. From there, the work is new sources, shared definitions, better distribution, and a roadmap you help write.
KEY RESPONSIBILITIES
- Run the analytics database and its scheduled jobs - reliable, monitored, and documented.
- Pull in new sources through vendor APIs (CRM, contact center, lending platforms) with incremental, restartable laods
- Model raw data into tables and views the business can trust.
- Build operational reporting that has to be right every day: call lists, merchant partner reporting, and management reports.
- Own the data dictionary and KPI definitions in partnership with business owners.
- Lead one analyst, setting direction and raising the bar on quality.
REQUIRED QUALIFICATIONS
- 5+ years running production data pipelines and reporting.
- Strong SQL Server: window functions, dedup, and performance on big tables.
- Python and API extraction and pipelines.
- Experience operating scheduled jobs and logging, alerting, and quality checks.
- You've published data to a BI tool and supported the people using it.
- Comfortable working in Git.
PREFERED QUALIFICATIONS
- Consumer lending or financial services experience.
- Salesforce or Genesys Cloud Data
- Tableau, Metabase, ThoughtSpot, Omni, or similar
- dbt, AZURE SQL, or AI/LLM tooling on data.
YOUR FIRST 90 DAYS
- Learn the business and the current platform.
- Operate - take over daily operations of the platform alongside the team.
- Deliver - land one new source, end to end.
- Define - get the first shared KPI definitions agreed and written down.
WHAT WE OFFER
- Compensation is based on work location.
San Diego (onsite/hybrid): $150,000–$180,000 base per year.
Remote (outside California): $135k-$160k base per year, set by the labor market for the candidate's location. *
Individual offers within each range depend on job-related factors such as experience, skills, and qualifications.
- Relax and recharge with Paid Time Off (PTO) Program; plus 10 paid holidays
- Financial health with 401(k) programs and employer match
- Internet reimbursement - $40 per month
- Take care of your emotional, physical, and financial wellbeing with access to EAP
- We invest in your future through ongoing learning and development resources
- Save on taxes with Flexible Spending or Health Savings Accounts
- Peace of mind with Life and AD&D Insurance
- Discounts for shopping at various retailers
Skills Required
- 5+ years running production data pipelines and reporting
- Strong SQL Server skills, including window functions, deduplication, and performance optimization on large tables
- Python and API extraction and pipeline development experience
- Experience operating scheduled jobs with logging, alerting, and quality checks
- Experience publishing data to a BI tool and supporting BI users
- Comfortable working in Git
- Consumer lending or financial services experience
- Salesforce or Genesys Cloud Data experience
- Experience with Tableau, Metabase, ThoughtSpot, Omni, or similar BI tools
- Experience with dbt, Azure SQL, or AI/LLM tooling on data
What We Do
With more customers looking to buy now and pay later, providing payment options is a must. Built on 20 years of customer finance experience, EasyPay Finance meets the needs of retailers and auto repair dealers by providing a simple and convenient finance option. Always striving to be the best, EasyPay Finance consolidates the need for multiple finance companies into one easy solution for customers with good, challenged and poor credit. Using EasyPay, over 12,000 locations across the United States have helped their qualified customers finance the purchase of goods and services.
